We build the spatial intelligence layer that turns IoT telemetry into map-based operational decisions. We do not sell IoT hardware.
IoT telemetry, satellite data and operational systems are usually bought and collected but never unified into one map-based view, and the businesses selling the hardware rarely also build the spatial software layer that turns readings into geographic decisions.
Any IoT platform API to PostGIS to interactive map with time-series. LoRaWAN, NB-IoT, Sigfox, MQTT, AMQP, CoAP, OPC-UA.
IoT ground truth + satellite + drone + operational data on one map. Correlation analysis across sources.
Threshold alerts by geography. Not 'temperature is high' but 'temperature exceeded threshold in zone 3 of sector 17.'
GPS + OBD-II + CAN bus + cold chain + EV telemetry → PostGIS analytics. Planned vs actual route, dwell time, detour detection.
Multi-brand machine telemetry unified on one spatial platform. TC-GEO, TC-SC, TC-BAS task data parsed and mapped.
Lightweight edge nodes for field and vehicle environments with intermittent connectivity. Local buffering, conflict resolution, automatic cloud sync when signal returns.
| Stack | PostGIS + TimescaleDB, MQTT/AMQP/CoAP/OPC-UA ingestion |
|---|---|
| Proof | 78-95% cost saving, sub-200ms queries, ISOBUS multi-brand support |
Review of your sensor platforms, protocols and existing telemetry, stack alignment, bottleneck map.
SoW, milestones and the ingestion and alerting scope, under an English-law contract.
Weekly demos, CI/CD and observability from day one, on PostGIS + TimescaleDB with your MQTT/AMQP/CoAP/OPC-UA ingestion.
Extend to new sources and iterate. You keep the pipeline, the code and the team.
We bridge GIS and BIM: point clouds, terrain, BIM and live IoT feeds fused into one queryable browser environment. No plugins.
AI-native capability applied across all verticals: point cloud intelligence, satellite and imagery analytics, and predictive spatial modelling, with every AI output validated by domain experts.